title: Rapidly developing functional genomics in ecological model systems via 454 transcriptome sequencing.
abstract: Next generation sequencing technology affords new opportunities in ecological genetics. This paper addresses how an ecological genetics research program focused on a phenotype of interest can quickly move from no genetic resources to having various functional genomic tools. 454 sequencing and its error rates are discussed, followed by a review of de novo transcriptome assemblies focused on the first successful de novo assembly which happens to be in an ecological model system (the Glanville fritillary butterfly). The potential future developments in 454 sequencing are also covered. Particular attention is paid to the difficulties ecological geneticists are likely to encounter through reviewing relevant studies in both model and non-model systems. Various post-sequencing issues and applications of 454 generated data are presented (e.g. database management, microarray construction, molecular marker and candidate gene development). How to use species with genomic resources to inform study of those without is also discussed. In closing, some of the drawbacks of 454 sequencing are presented along with future prospects of this technology.
authors.affiliation: Metapopulation Research Group, Department of Biological and Environmental Sciences, University of Helsinki, P.O. Box 65, Viikinkaari 1, Helsinki 00014, Finland. chris.wheat@stanfordalumni.org
authors.forename: Christopher W
authors.initials: CW
authors.lastname: Wheat
mesh_terms: D000818:Animals; D002080:Butterflies / Q000235:genetics; D030541:Databases, Genetic; D004463:Ecology; D020869:Gene Expression Profiling; D005819:Genetic Markers; D005828:Genetics, Population; D016678:Genome; D023281:Genomics / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis; D016415:Sequence Alignment; D017422:Sequence Analysis, DNA / Q000379:methods*
chemical_list: D005819:Genetic Markers